Multi-agent reinforcement learning for traffic signal control through universal communication method

• المؤلفون الرئيسيون: JIANG, Qize, QIN, Minhao, SHI, Shengmin, SUN, Weiwei Sun, ZHENG, Baihua
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: Transportation; traffic control; UniComm; Databases and Information Systems; Operations Research, Systems Engineering and Industrial Engineering
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/7193; https://ink.library.smu.edu.sg/context/sis_research/article/8196/viewcontent/Multi_Agent_Reinforcement_Learning_for_Traffic_Signal_Control_through_UniversalCommunication_Method__3_.pdf
• المؤسسة: Singapore Management University

How to coordinate the communication among intersections effectively in real complex traffic scenarios with multi-intersection is challenging. Existing approaches only enable the communication in a heuristic manner without considering the content/importance of information to be shared. In this paper,...